510 Autonomous Systems jobs in the United Kingdom
Lead Autonomous Systems Engineer
WV1 1BU Wolverhampton, West Midlands
£75000 Annually
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Posted 1 day ago
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Job Description
Our client is a pioneering automotive technology company seeking an innovative and experienced Lead Autonomous Systems Engineer to drive the future of vehicle autonomy. This fully remote role demands exceptional expertise in the design, development, and integration of complex autonomous driving systems. You will lead a team of talented engineers, architect robust software and hardware solutions, and ensure the safety, reliability, and performance of our autonomous platforms. The ideal candidate possesses a deep understanding of perception, planning, control, and simulation technologies, coupled with a passion for pushing the boundaries of automotive innovation.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of end-to-end autonomous driving systems, including perception, sensor fusion, localization, path planning, and control.
- Architect and define software frameworks and algorithms for autonomous vehicle operation.
- Manage and mentor a team of autonomous systems engineers, fostering a collaborative and innovative environment.
- Develop and execute comprehensive testing and validation strategies, including simulation and real-world testing.
- Ensure the safety, reliability, and robustness of autonomous systems in compliance with industry standards and regulations.
- Collaborate with hardware engineering teams to define sensor requirements and integration strategies.
- Integrate and optimize algorithms for embedded systems and real-time performance.
- Stay abreast of the latest advancements in AI, machine learning, computer vision, and robotics relevant to autonomous driving.
- Define and track key performance indicators (KPIs) for autonomous system development and performance.
- Manage project timelines, resources, and budgets effectively in a remote setting.
- Contribute to intellectual property generation and patent applications.
- Write clear, concise, and well-documented code and technical specifications.
- Engage with external partners, researchers, and regulatory bodies as needed.
- Promote a strong culture of safety and continuous improvement within the engineering team.
- Master's or PhD degree in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on autonomous systems.
- Minimum of 7 years of progressive experience in the development of autonomous systems, with at least 3 years in a leadership or senior engineering role.
- Extensive knowledge of perception algorithms (e.g., object detection, tracking, semantic segmentation), sensor fusion techniques, localization, and path planning.
- Proficiency in programming languages such as C++, Python, and relevant robotics frameworks (e.g., ROS).
- Strong experience with simulation tools and methodologies for autonomous vehicle development.
- Deep understanding of machine learning, deep learning, and their application in autonomous systems.
- Experience with hardware-in-the-loop (HIL) testing and software-in-the-loop (SIL) validation.
- Excellent leadership, communication, and interpersonal skills.
- Proven ability to lead technical teams and manage complex projects in a remote environment.
- Familiarity with automotive safety standards (e.g., ISO 26262) is a plus.
- Strong analytical and problem-solving skills.
- Demonstrated ability to innovate and drive technical solutions forward.
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0
Principal Autonomous Systems Engineer
BT1 1AA Belfast, Northern Ireland
£90000 Annually
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Posted 3 days ago
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Our client, a leader in cutting-edge automotive technology, is seeking a visionary Principal Autonomous Systems Engineer to spearhead the development of next-generation self-driving systems. This is a fully remote, critical role demanding deep expertise in AI, robotics, and vehicle dynamics. You will be responsible for architecting, designing, and validating complex autonomous driving software, pushing the boundaries of what's possible in the automotive sector.
Responsibilities:
Qualifications:
This is a unique opportunity to shape the future of transportation from anywhere in the UK. You will be part of a pioneering team, developing technology that will redefine mobility. We provide comprehensive remote work support to ensure seamless integration and productivity. The focus is on innovation and results, enabling you to contribute significantly to groundbreaking projects in the autonomous vehicle space. Embrace the challenge of solving some of the most complex engineering problems of our time, all while enjoying the flexibility of a remote work arrangement. Your expertise will be crucial in achieving higher levels of vehicle autonomy and safety, driving us towards a future of smarter, safer roads. This role demands a senior-level perspective and a passion for pioneering advancements in automotive technology, allowing you to make a lasting impact.
Responsibilities:
- Lead the design and development of sophisticated autonomous driving algorithms and software architecture.
- Develop and implement perception, localization, planning, and control systems.
- Utilize advanced machine learning and AI techniques for autonomous vehicle functionality.
- Conduct rigorous simulations and real-world testing to validate system performance and safety.
- Collaborate with cross-functional teams including hardware engineers, sensor specialists, and safety experts.
- Define system requirements and specifications for autonomous driving features.
- Analyze large datasets from vehicle sensors to identify areas for improvement.
- Stay abreast of the latest research and advancements in autonomous driving technology.
- Mentor and guide junior engineers, fostering a culture of innovation and technical excellence.
- Contribute to the overall safety case and regulatory compliance of autonomous systems.
- Document designs, algorithms, and test procedures thoroughly.
- Troubleshoot and resolve complex technical challenges in simulation and on-vehicle environments.
- Evaluate and integrate new technologies and tools into the development pipeline.
- Champion best practices in software engineering for safety-critical systems.
- Drive the technical roadmap for autonomous system development.
Qualifications:
- Master's or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field.
- 10+ years of experience in autonomous systems development, with a significant focus on self-driving vehicles.
- Deep expertise in C++, Python, and relevant robotics frameworks (e.g., ROS).
- Proven experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and algorithms.
- Strong understanding of sensor fusion, SLAM, path planning, and control theory.
- Experience with simulation environments (e.g., CARLA, Gazebo).
- Familiarity with automotive safety standards (e.g., ISO 26262).
- Excellent problem-solving, analytical, and critical thinking skills.
- Demonstrated leadership capabilities and experience mentoring technical teams.
- Exceptional communication and collaboration skills, especially in a remote setting.
- Ability to work independently and take ownership of complex projects.
This is a unique opportunity to shape the future of transportation from anywhere in the UK. You will be part of a pioneering team, developing technology that will redefine mobility. We provide comprehensive remote work support to ensure seamless integration and productivity. The focus is on innovation and results, enabling you to contribute significantly to groundbreaking projects in the autonomous vehicle space. Embrace the challenge of solving some of the most complex engineering problems of our time, all while enjoying the flexibility of a remote work arrangement. Your expertise will be crucial in achieving higher levels of vehicle autonomy and safety, driving us towards a future of smarter, safer roads. This role demands a senior-level perspective and a passion for pioneering advancements in automotive technology, allowing you to make a lasting impact.
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1
Senior Autonomous Systems Engineer
EH1 2HE Edinburgh, Scotland
£70000 Annually
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Posted 5 days ago
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Job Description
Our client is a pioneering force in the automotive industry, pushing the boundaries of autonomous vehicle technology. We are seeking a highly skilled Senior Autonomous Systems Engineer to join our elite team. This is a fully remote position, allowing you to contribute to cutting-edge advancements in self-driving technology from anywhere. You will be responsible for designing, developing, testing, and integrating complex autonomous systems, including perception, localization, planning, and control. The ideal candidate will have a strong theoretical foundation and hands-on experience in robotics, AI, and automotive systems, with a passion for innovation and problem-solving.
Responsibilities:
Responsibilities:
- Design, develop, and implement algorithms for autonomous vehicle systems (perception, localization, path planning, control).
- Develop and integrate sensor fusion techniques for robust environment perception.
- Collaborate with hardware and software teams to ensure seamless system integration.
- Conduct rigorous testing and validation of autonomous driving features in simulation and real-world environments.
- Optimize algorithms for real-time performance and computational efficiency.
- Troubleshoot and debug complex system issues.
- Stay abreast of the latest research and advancements in autonomous driving technology.
- Mentor junior engineers and contribute to team knowledge sharing.
- Document system designs, algorithms, and test results.
- Contribute to the overall architecture and strategy of the autonomous driving platform.
- Work closely with safety engineers to ensure compliance with automotive safety standards.
- Master's or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field.
- Extensive experience in the development of autonomous systems, robotics, or AI.
- Proficiency in programming languages such as C++, Python, and relevant robotics frameworks (e.g., ROS).
- Strong understanding of sensor technologies (LiDAR, Radar, Cameras), sensor fusion, and computer vision.
- Experience with control theory, path planning algorithms, and decision-making logic.
- Familiarity with machine learning frameworks and techniques relevant to autonomous driving.
- Proven ability to work independently and collaboratively in a remote, fast-paced environment.
- Excellent analytical, problem-solving, and debugging skills.
- Strong communication and teamwork abilities.
- Experience with simulation tools and hardware-in-the-loop testing.
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2
Principal Mining Engineer - Autonomous Systems
G1 1AA Glasgow, Scotland
£80000 Annually
WhatJobs
Posted 5 days ago
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Job Description
Our client, a forward-thinking leader in the global mining industry, is seeking an exceptional Principal Mining Engineer specializing in Autonomous Systems. This is a fully remote position, allowing you to contribute your expertise from anywhere in the UK. You will be at the forefront of innovation, driving the development, integration, and optimization of autonomous mining technologies across our international operations. This role requires a deep understanding of mining operations, advanced automation, and strategic implementation.
Responsibilities:
Responsibilities:
- Lead the strategic vision and execution plan for the adoption and enhancement of autonomous mining systems and technologies.
- Evaluate, select, and integrate cutting-edge automation solutions, including autonomous haulage, drilling, and other mobile equipment.
- Develop and refine operational models for remote fleet management and supervision centres.
- Conduct feasibility studies and cost-benefit analyses for new autonomous mining deployments.
- Collaborate with cross-functional teams, including operations, engineering, IT, and external technology partners.
- Develop and implement robust training programs for personnel involved in operating and maintaining autonomous systems.
- Oversee the performance monitoring and continuous improvement of autonomous fleets, identifying areas for optimisation.
- Ensure the safety, security, and reliability of all autonomous operations, adhering to stringent industry standards.
- Stay abreast of emerging trends and disruptive technologies in automation, AI, and robotics within the mining sector.
- Provide expert technical guidance and mentorship to engineering and operational teams.
- Develop and manage project plans, budgets, and timelines for autonomous system implementation.
- Contribute to the development of company-wide standards and best practices for mining automation.
- Engage with regulatory bodies and industry associations to ensure compliance and contribute to industry advancement.
- Master's or Ph.D. in Mining Engineering, Electrical Engineering, Computer Science, or a related field.
- Minimum of 10-15 years of progressive experience in mining operations and engineering, with a significant focus on automation and technology implementation.
- Proven experience in the design, deployment, and management of autonomous mining equipment and systems (e.g., Caterpillar Command, Komatsu FrontRunner, Sandvik AutoMine).
- Deep understanding of mining processes, fleet management, and operational optimization.
- Expertise in control systems, robotics, artificial intelligence, and data analytics as applied to mining.
- Strong project management skills, with a track record of delivering complex technical projects on time and within budget.
- Excellent leadership, communication, and stakeholder management abilities.
- Ability to work effectively in a remote, global team environment and travel as required for site visits.
- Proficiency in relevant simulation and modelling software.
- A strategic mindset with the ability to translate technological advancements into tangible business value.
- Relevant professional certifications and publications are highly regarded.
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3
Remote Automotive Software Engineer - Autonomous Systems
CB2 0AL Cambridge, Eastern
£60000 Annually
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Posted today
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Job Description
Our client, a leader in automotive innovation, is seeking a highly skilled Remote Automotive Software Engineer to contribute to the development of cutting-edge autonomous driving systems. This role is entirely remote, allowing you to work from anywhere within the UK. You will be part of a talented engineering team focused on designing, implementing, and testing complex software solutions for self-driving vehicles. The ideal candidate will have a strong foundation in C++, software architecture, and experience with automotive protocols and simulation environments. This is an exceptional opportunity to influence the future of transportation and work on challenging, impactful projects.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement robust and efficient software modules for autonomous vehicle systems, including perception, planning, and control.
- Write high-quality, well-documented, and testable C++ code.
- Collaborate with cross-functional teams (hardware, systems engineering, AI/ML) to define software requirements and specifications.
- Develop and execute unit tests, integration tests, and system tests to ensure software reliability and performance.
- Utilize simulation environments to test and validate autonomous driving algorithms.
- Debug and resolve complex software issues in a real-time embedded systems environment.
- Contribute to the improvement of software development processes, tools, and methodologies.
- Participate in code reviews to maintain code quality and share knowledge within the team.
- Stay current with advancements in automotive software engineering, AI, and autonomous systems.
- Document software designs, architecture, and test procedures.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- Minimum of 3 years of professional software development experience, with a focus on C++.
- Experience in developing software for embedded systems or real-time applications.
- Familiarity with automotive software development processes and standards (e.g., AUTOSAR, MISRA C++).
- Knowledge of autonomous driving concepts (perception, localization, planning, control) is highly desirable.
- Experience with robotics middleware (e.g., ROS) and simulation tools (e.g., CARLA, Vires VTD) is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills, with the ability to work effectively in a remote team.
- Proficiency in version control systems (e.g., Git).
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4
Senior Program Manager, Autonomous Systems (Remote)
S1 4PQ Sheffield, Yorkshire and the Humber
£80000 Annually
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Posted today
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Job Description
Our client is seeking a seasoned and strategic Senior Program Manager to lead the development and execution of ambitious autonomous systems initiatives. This is a fully remote role, offering an unparalleled opportunity to manage complex, cutting-edge projects from anywhere in the UK. You will be responsible for overseeing all aspects of program lifecycle, from initiation and planning through execution, monitoring, control, and closure. This includes defining program scope, objectives, deliverables, and ensuring the successful delivery of innovative solutions on time and within budget. The ideal candidate will have a proven track record in managing large-scale technology programs, excellent leadership skills, and a deep understanding of agile methodologies and project management best practices.
Responsibilities:
Qualifications:
This is a pivotal role for a results-driven leader to make a significant impact. Join our client's innovative team and drive forward the future of autonomous technology, working remotely from Sheffield or any other location.
Responsibilities:
- Define, plan, and execute complex technology programs, ensuring alignment with strategic business objectives.
- Manage program scope, schedule, budget, resources, and risks effectively.
- Lead and motivate cross-functional program teams, fostering a collaborative and high-performance culture.
- Develop and maintain detailed program plans, including timelines, milestones, and dependencies.
- Identify, assess, and mitigate program risks and issues proactively.
- Establish and manage strong relationships with stakeholders at all levels, providing regular updates on program progress.
- Oversee the implementation of agile methodologies and best practices within program teams.
- Facilitate effective communication and collaboration among team members, vendors, and clients.
- Drive continuous improvement in program management processes and methodologies.
- Ensure the successful delivery of program objectives and the achievement of key performance indicators (KPIs).
Qualifications:
- Master's degree in Engineering, Computer Science, Business Administration, or a related field.
- 10+ years of experience in program management, with a minimum of 5 years leading large-scale technology programs.
- Proven experience in managing programs related to autonomous systems, AI, robotics, or advanced engineering.
- PMP, PRINCE2, or Agile certification is highly desirable.
- Demonstrated ability to lead and influence cross-functional teams in a matrixed environment.
- Expertise in program management software and tools (e.g., Jira, Confluence, MS Project).
- Exceptional strategic thinking, problem-solving, and decision-making abilities.
- Outstanding communication, negotiation, and interpersonal skills.
- Experience working in a fully remote or hybrid work environment is essential.
- Strong understanding of software development lifecycles and system engineering principles.
This is a pivotal role for a results-driven leader to make a significant impact. Join our client's innovative team and drive forward the future of autonomous technology, working remotely from Sheffield or any other location.
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5
Senior Computer Vision Engineer - Autonomous Systems
PO1 1AA Portsmouth, South East
£75000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client is a leader in AI and Emerging Technologies, and they are looking for a highly skilled Senior Computer Vision Engineer to join their innovative, fully remote team. This role focuses on developing cutting-edge computer vision algorithms and systems for autonomous applications. The ideal candidate will possess a deep understanding of image processing, machine learning, and deep learning techniques as applied to real-world problems in robotics, autonomous vehicles, or similar fields. You will be instrumental in pushing the boundaries of what's possible in machine perception.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement advanced computer vision algorithms for object detection, tracking, segmentation, and scene understanding.
- Develop and train deep learning models using frameworks like TensorFlow, PyTorch, or similar.
- Optimize algorithms for real-time performance on embedded systems and edge devices.
- Collaborate with hardware engineers to integrate vision systems into prototypes and production environments.
- Conduct research into new computer vision techniques and technologies.
- Analyze and interpret large datasets to improve model accuracy and robustness.
- Write clean, well-documented, and efficient code (primarily C++ and Python).
- Contribute to the overall system architecture and design of autonomous systems.
- Stay current with the latest research papers, trends, and tools in computer vision and AI.
- Mentor junior engineers and contribute to a culture of technical excellence.
- Perform rigorous testing and validation of developed algorithms.
- Document technical designs, experiments, and results thoroughly.
Qualifications:
- MSc or PhD in Computer Science, Electrical Engineering, Robotics, or a related field with a specialization in Computer Vision or Machine Learning.
- 5+ years of professional experience in computer vision development.
- Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., OpenCV).
- Strong proficiency in C++ and Python programming.
- Solid understanding of fundamental computer vision concepts (e.g., feature detection, stereo vision, structure from motion).
- Experience with 3D point cloud processing is a plus.
- Familiarity with robotics platforms (e.g., ROS) is desirable.
- Excellent problem-solving, analytical, and algorithmic thinking skills.
- Ability to work independently and collaboratively in a remote team setting.
- Strong communication and documentation skills.
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6
Lead AI Research Scientist - Autonomous Systems
AB25 1JP Aberdeen, Scotland
£70000 Annually
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Posted 5 days ago
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Job Description
Our client is at the forefront of innovation in AI and Emerging Technologies, and we are looking for a visionary Lead AI Research Scientist to spearhead groundbreaking projects in autonomous systems. This is a critical, fully remote role where you will drive research and development initiatives from conception to deployment. You will have the opportunity to shape the future of intelligent machines and contribute to a team of world-class engineers and scientists.
As the Lead AI Research Scientist, you will be instrumental in defining the research agenda, designing complex algorithms, and mentoring junior researchers. Your work will involve deep theoretical exploration coupled with practical implementation, pushing the boundaries of what's possible in areas such as machine learning, deep learning, computer vision, and reinforcement learning, specifically applied to autonomous navigation, decision-making, and control.
Key Responsibilities:
Qualifications:
As the Lead AI Research Scientist, you will be instrumental in defining the research agenda, designing complex algorithms, and mentoring junior researchers. Your work will involve deep theoretical exploration coupled with practical implementation, pushing the boundaries of what's possible in areas such as machine learning, deep learning, computer vision, and reinforcement learning, specifically applied to autonomous navigation, decision-making, and control.
Key Responsibilities:
- Lead the design, development, and implementation of cutting-edge AI algorithms for autonomous systems.
- Define research roadmaps and identify key scientific challenges and opportunities.
- Conduct rigorous theoretical and empirical research, including literature reviews and experimental design.
- Develop and train advanced machine learning and deep learning models.
- Collaborate with software engineering teams to integrate research prototypes into production systems.
- Publish research findings in leading academic conferences and journals.
- Mentor and guide a team of AI researchers and engineers, fostering a collaborative and innovative environment.
- Stay current with the latest advancements in AI, machine learning, and related fields.
- Present research findings and project updates to technical and non-technical stakeholders.
- Contribute to patent applications and intellectual property development.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on research experience in AI, with a strong focus on autonomous systems, robotics, or related areas.
- Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).
- Experience with computer vision, reinforcement learning, and/or sensor fusion techniques.
- Demonstrated ability to lead research projects and mentor team members.
- Strong publication record in reputable AI conferences/journals is highly desirable.
- Excellent problem-solving skills and a passion for tackling complex technical challenges.
- Ability to work independently and thrive in a remote, collaborative setting.
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7
Autonomous Vehicle Systems Operator
CB2 1TN Cambridge, Eastern
£35000 annum (pro
WhatJobs
Posted 1 day ago
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Job Description
Our client, a pioneer in autonomous transportation technology, is seeking highly skilled and adaptable Autonomous Vehicle Systems Operators to join their innovative, fully remote team. This role is essential for the continuous development and refinement of self-driving vehicle software. As an operator, you will remotely monitor, control, and interact with a fleet of autonomous vehicles in real-time, ensuring their safe and efficient operation. Your responsibilities will include overseeing vehicle performance, interpreting sensor data, and making critical decisions to navigate complex traffic scenarios, respond to unexpected events, and troubleshoot system anomalies. You will be expected to provide detailed feedback and data logs to the engineering teams to aid in the improvement of the autonomous driving algorithms and systems.
This is a remote-first position, allowing you to work from any location within the UK. You will be trained on proprietary software platforms used for remote fleet management, data analysis, and vehicle control. A key aspect of the role involves identifying and reporting on edge cases, system failures, and environmental challenges encountered during operation. You will collaborate closely with a global team of engineers and data scientists through virtual communication channels, contributing to the iterative development cycle of autonomous technology. The ideal candidate will possess exceptional situational awareness, strong analytical and decision-making skills, and the ability to remain calm and focused under pressure. A keen interest in cutting-edge technology, particularly in the automotive and AI sectors, is essential. Previous experience in remote operations, aviation, or complex systems monitoring is advantageous, but comprehensive training will be provided. You must be comfortable working with advanced software interfaces and possess excellent communication skills to effectively report findings and collaborate with your remote colleagues. This is a unique opportunity to be at the forefront of the autonomous revolution.
Qualifications:
This is a remote-first position, allowing you to work from any location within the UK. You will be trained on proprietary software platforms used for remote fleet management, data analysis, and vehicle control. A key aspect of the role involves identifying and reporting on edge cases, system failures, and environmental challenges encountered during operation. You will collaborate closely with a global team of engineers and data scientists through virtual communication channels, contributing to the iterative development cycle of autonomous technology. The ideal candidate will possess exceptional situational awareness, strong analytical and decision-making skills, and the ability to remain calm and focused under pressure. A keen interest in cutting-edge technology, particularly in the automotive and AI sectors, is essential. Previous experience in remote operations, aviation, or complex systems monitoring is advantageous, but comprehensive training will be provided. You must be comfortable working with advanced software interfaces and possess excellent communication skills to effectively report findings and collaborate with your remote colleagues. This is a unique opportunity to be at the forefront of the autonomous revolution.
Qualifications:
- Proven ability to work effectively in a remote, autonomous environment.
- Excellent situational awareness and spatial reasoning skills.
- Strong analytical and critical thinking capabilities.
- Ability to make quick, informed decisions under pressure.
- Excellent communication and reporting skills (written and verbal).
- Comfortable learning and using complex software systems.
- Keen interest in automotive technology, AI, and robotics.
- High school diploma or equivalent; further technical training or relevant experience is a plus.
- Must have a reliable internet connection and a suitable workspace for remote operation.
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8
Autonomous Vehicle Systems Engineer
CB2 9BU Cambridge, Eastern
£70000 Annually
WhatJobs
Posted 5 days ago
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Job Description
Our client is a pioneering company at the forefront of autonomous vehicle technology, and they are seeking a brilliant Autonomous Vehicle Systems Engineer to join their dynamic, fully remote engineering team. This role offers the exceptional opportunity to work from home anywhere in the UK, contributing to the development of next-generation self-driving systems. You will be instrumental in the design, integration, testing, and validation of complex AV software and hardware components. The ideal candidate possesses a strong background in robotics, AI, computer vision, or control systems, coupled with exceptional problem-solving skills and the ability to thrive in a fast-paced, innovative, and remote-first environment.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement core algorithms for autonomous driving systems, including perception, planning, and control.
- Integrate various hardware and software modules to create robust and reliable AV systems.
- Develop and execute test plans for simulation and real-world vehicle testing, analysing results to identify areas for improvement.
- Collaborate with cross-functional teams, including software engineers, hardware engineers, and AI specialists, in a remote setting.
- Troubleshoot and debug complex system issues, identifying root causes and implementing effective solutions.
- Contribute to the definition of system requirements and architecture for future AV platforms.
- Stay current with the latest advancements in AI, machine learning, computer vision, robotics, and automotive technology.
- Maintain clear and concise documentation for designs, code, and test procedures.
- Ensure adherence to safety standards and regulatory requirements throughout the development lifecycle.
- Participate in code reviews and contribute to the continuous improvement of engineering practices.
- Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
- Minimum of 5 years of professional experience in developing complex systems, with a focus on autonomous vehicles, robotics, AI, or related areas.
- Proficiency in C++ and/or Python, with experience in relevant libraries and frameworks (e.g., ROS, TensorFlow, PyTorch, OpenCV).
- Strong understanding of core AV technologies such as sensor fusion, object detection, path planning, and control algorithms.
- Experience with simulation tools and methodologies for AV development.
- Excellent analytical, problem-solving, and debugging skills.
- Exceptional communication and collaboration skills, essential for effective remote teamwork.
- Ability to work independently, manage time effectively, and deliver high-quality results in a fully remote environment.
- A strong passion for innovation and the future of mobility.
- A dedicated and secure remote workspace with reliable internet access is required.
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